about
Adaptive combination of P-values for family-based association testing with sequence dataRare-Variant Kernel Machine Test for Longitudinal Data from Population and Family SamplesIdentifying single-nucleotide polymorphisms responsible for the linkage signal of rheumatoid arthritis on chromosome 6 by joint modeling of linkage and association.Incorporating prior knowledge to facilitate discoveries in a genome-wide association study on age-related macular degeneration.Discovering joint associations between disease and gene pairs with a novel similarity test.Kernel-machine testing coupled with a rank-truncation method for genetic pathway analysis.Haplotype kernel association test as a powerful method to identify chromosomal regions harboring uncommon causal variants.Presenting the uncertainties of odds ratios using empirical-Bayes prediction intervals.Improving power of genome-wide association studies with weighted false discovery rate control and prioritized subset analysis.Multivariate dimensionality reduction approaches to identify gene-gene and gene-environment interactions underlying multiple complex traits.Reducing bias of allele frequency estimates by modeling SNP genotype data with informative missingnessThe impact of petrochemical industrialisation on life expectancy and per capita income in Taiwan: an 11-year longitudinal study.Association testing of clustered rare causal variants in case-control studies.Similarity-based multimarker association tests for continuous traits.Associating Multivariate Quantitative Phenotypes with Genetic Variants in Family Samples with a Novel Kernel Machine Regression Method.Haplotype-based methods for detecting uncommon causal variants with common SNPsBeyond Rare-Variant Association Testing: Pinpointing Rare Causal Variants in Case-Control Sequencing StudyLong-term changes in adiposity and glycemic control are associated with past adenovirus infection.One- and two-locus models for mapping rheumatoid arthritis-susceptibility genes on chromosome 6.A Sequence Kernel Association Test for Dichotomous Traits in Family Samples under a Generalized Linear Mixed ModelA Fuzzy Permutation Method for False Discovery Rate ControlConditioning adaptive combination of P-values method to analyze case-parent trios with or without population controls.Power comparisons between similarity-based multilocus association methods, logistic regression, and score tests for haplotypesRare variant association testing by adaptive combination of P-values.Response to Comment on: Lin et al. Long-term changes in adiposity and glycemic control are associated with past adenovirus infection. Diabetes Care 2013;36:701-707.Adaptive combination of Bayes factors as a powerful method for the joint analysis of rare and common variants.Robust multipoint simultaneous identical-by-descent mapping for two linked loci.Using linkage and association to identify and model genetic effects: summary of GAW15 Group 4Genome-Wide Gene-Environment Interaction Analysis Using Set-Based Association TestsShort-Term Effects of Very-Low-Phosphate and Low-Phosphate Diets on Fibroblast Growth Factor 23 in Hemodialysis Patients: A Randomized Crossover TrialSex-specific autosomal genetic effects across 26 human complex traitsPolygenic approaches to detect gene-environment interactions when external information is unavailablePerforming different kinds of physical exercise differentially attenuates the genetic effects on obesity measures: Evidence from 18,424 Taiwan Biobank participants
P50
Q30881935-7DED687A-757B-45C5-9A1A-14F14E211B0BQ31094385-D5541125-ECCE-44D0-8F6F-1DCB081F778CQ33332948-6461BB4F-F2A6-4B3E-AECF-25C36B640112Q33533937-F9A93C2D-F0A7-440D-8B8D-468B8333512CQ33710130-F5DE5453-712D-49D0-B96D-2C5EFB2C882EQ33814014-88D1B9B0-405E-43AA-B894-84FF7F5F7E27Q33976828-CCA5FDAB-F883-4F25-AC24-8377BAAE83BDQ34171581-EF1EF98D-C954-41B6-994C-20F743F03696Q34229909-B8F2BB23-8744-4576-B9F9-003A90E87A3CQ34258237-1361999D-E8C4-44CF-BB18-09B0B66E5A14Q34311620-63BF883B-5F4B-42AD-BBAA-5B39ED84752BQ35118417-C8CD55A3-F7FD-4021-BF08-8A84E554E664Q35148971-AF3C473E-210B-4D8C-A324-017C08A01115Q35898620-B74C06CE-DD64-4CA7-9883-0D496D943E23Q36365189-D92268C1-95A0-4DFB-8EE9-AC5352BC03E5Q36441989-040ABD99-08A9-4B74-B799-0B8EFE0E65F6Q36605794-4FAA9022-9084-4440-BA68-DEA64A59A1D0Q36629576-AFFFF7F8-7258-4893-B548-425F7ACB42DDQ36632873-3C1FBD43-0E9B-4743-B5AC-D8936C350EBEQ36781456-9F4C834A-E877-4440-8432-981C6EF3AB8CQ37027429-6183B901-A17D-4AEC-8C64-258CA2A3BD6FQ37035863-1A8E0F6A-5F00-41BE-8C40-6827BFDD203AQ37172191-0F33B6FD-D69D-41CF-971E-DB0FFABDEEF7Q37484322-6E3D7EF6-D6A9-40B7-8844-5C18617F366BQ42561179-472B558A-BE03-4377-8E4C-207E6F70D0EAQ42639822-FAAD1F49-025C-4E15-B76D-4BCD5CFBD49FQ51925449-116A1610-76D0-4263-A175-3ABDF74A7000Q57363088-308F1D52-012B-4F5C-A6EE-5ED34D159E0AQ61448724-2CFAC957-6182-440F-B10A-D13015A2CF06Q90099487-F7A51E3F-F3D2-4EF7-B3D9-74F83AA5981AQ90237262-AF9CCB1C-7A9B-4A89-A0F6-08B1C3CF240AQ91467849-35175FED-F27B-4795-9B9B-DD3759541A11Q92339921-D71B49FA-B70D-4CD5-8235-8AB4008F9FA7
P50
description
researcher
@en
wetenschapper
@nl
հետազոտող
@hy
name
Wan-Yu Lin
@ast
Wan-Yu Lin
@en
Wan-Yu Lin
@es
Wan-Yu Lin
@nl
type
label
Wan-Yu Lin
@ast
Wan-Yu Lin
@en
Wan-Yu Lin
@es
Wan-Yu Lin
@nl
prefLabel
Wan-Yu Lin
@ast
Wan-Yu Lin
@en
Wan-Yu Lin
@es
Wan-Yu Lin
@nl
P106
P1153
55723137600
P31
P496
0000-0002-3385-4702